A signal transmission data analysis method and system applied to a UAV

Abstract

The application relates to the technical field of unmanned aerial vehicle testing, and particularly discloses a signal transmission data analysis method and system applied to unmanned aerial vehicles. The application determines a test model and test items, filters a plurality of relevant standard data, obtains current meteorological data, carries out meteorological similar comparison processing on the plurality of relevant standard data, filters similar standard data, carries out unmanned aerial vehicle testing, carries out test comparison with the similar standard data, judges whether the test passes, and carries out replacement comparison and processing with the similar standard data when the test passes and the similar standard data is not initial standard data. According to the test model and test items, the relevant standard data can be filtered, the similar standard data can be filtered through meteorological similar comparison, then unmanned aerial vehicle testing and comparison can be carried out, whether the test passes can be judged, the meteorological environment corresponding to the standard data for test comparison is similar to the current meteorological environment, and the accuracy of unmanned aerial vehicle testing is improved.

Description

Technical Field

[0001] This invention belongs to the field of unmanned aerial vehicle (UAV) testing technology, and in particular relates to a method and system for analyzing signal transmission data of UAVs. Background Technology

[0002] Unmanned aerial vehicle (UAV) testing is a systematic verification and evaluation process conducted on UAVs under different environments, operating conditions, and application scenarios. It encompasses performance testing and adaptability testing of various functional modules, including flight control, navigation and positioning, power systems, communication links, and mission payloads. This comprehensive testing verifies the stability and reliability of various parameters during takeoff, flight, hovering, speed changes, obstacle avoidance, return to home, and landing, and evaluates the UAV's wind resistance, anti-interference capabilities, and mission completion effectiveness. The test results are crucial for UAV design optimization, performance evaluation, and airworthiness certification, playing a key role in ensuring flight safety and improving mission efficiency.

[0003] In existing drone testing technologies, the results are typically evaluated and judged based on fixed test standard data. However, in actual testing, drone test results are often affected by various meteorological factors such as wind speed, temperature, humidity, air pressure, precipitation, and light intensity. Therefore, the data judgment method based on fixed standards is difficult to reflect the performance of drones in real complex environments, affecting the accuracy of drone testing. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for analyzing signal transmission data of unmanned aerial vehicles (UAVs), aiming to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A method for analyzing signal transmission data of unmanned aerial vehicles (UAVs), the method specifically includes the following steps:

[0007] Receive drone test tasks, identify the drone test tasks, determine the test model and test items, and filter multiple relevant standard data from the standard test database;

[0008] Acquire current meteorological data, perform meteorological similarity comparison processing with multiple relevant standard data, and filter similar standard data;

[0009] According to the aforementioned UAV test mission, conduct UAV tests, receive signal transmission data, and compare the data with the aforementioned similar standard data to determine whether the test passes.

[0010] If the test is passed and the similar standard data is not the initial standard data, it is replaced, compared and processed with the similar standard data;

[0011] The process of conducting drone testing according to the drone testing task, receiving signal transmission data, and comparing it with similar standard data to determine whether the test passes includes the following steps:

[0012] Generate test control data according to the described UAV test mission;

[0013] Perform UAV test control according to the aforementioned test control data;

[0014] Receive signal transmission data from the drone;

[0015] The signal transmission data is compared with the similar standard data to determine whether the test passes.

[0016] The step of comparing the transmitted signal data with similar standard data to determine whether the test passes includes the following steps:

[0017] Extract similar transmission data from the aforementioned similar standard data;

[0018] Calculate the test comparison value based on the signal transmission data and the similar transmission data;

[0019] The test comparison value is compared with a preset pass threshold to determine whether the test comparison value is less than the pass threshold.

[0020] If the test comparison value is less than the passing threshold, the test is deemed to have passed;

[0021] If the test comparison value is not less than the passing threshold, the test is deemed to have failed.

[0022] As a further limitation of the technical solution of this embodiment of the invention, the step of receiving the UAV test task, identifying the UAV test task, determining the test model and test items, and filtering multiple relevant standard data from the standard test database specifically includes the following steps:

[0023] Receive drone testing missions;

[0024] Extract test text information from the aforementioned drone test mission;

[0025] The test text information is identified to determine the test model and test items;

[0026] Based on the test model and the test item, multiple relevant standard data are selected from the standard test database.

[0027] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining the current meteorological data, performing meteorological similarity comparison processing with multiple related standard data, and filtering similar standard data specifically includes the following steps:

[0028] Obtain current meteorological data;

[0029] Extract multiple relevant meteorological data from multiple relevant standard data sources;

[0030] Based on the current meteorological data and multiple related meteorological data, a similarity comparison is performed to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data;

[0031] Compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data;

[0032] Based on the aforementioned similar meteorological data, similar standard data are selected from multiple relevant standard data.

[0033] As a further limitation of the technical solution of this embodiment of the invention, the replacement comparison and processing with the similar standard data when the test is passed and the similar standard data is not the initial standard data specifically includes the following steps:

[0034] Obtain the data identity of the similar standard data;

[0035] If the test is passed and the data identity is not the initial standard data, obtain the historical comparison value of the similar standard data;

[0036] Determine whether the test comparison value is less than the historical comparison value;

[0037] If the test comparison value is less than the historical comparison value, then the similar standard data is replaced in the standard test database using the signal transmission data and the current meteorological data.

[0038] A signal transmission data analysis system for unmanned aerial vehicles (UAVs) specifically includes a related data filtering module, a similar data filtering module, a test comparison and judgment module, and a replacement comparison processing module, wherein:

[0039] The relevant data filtering module is used to receive UAV test tasks, identify the UAV test tasks, determine the test model and test items, and filter multiple relevant standard data from the standard test database.

[0040] The similar data filtering module is used to acquire current meteorological data, perform meteorological similarity comparison processing with multiple related standard data, and filter similar standard data;

[0041] The test comparison and judgment module is used to perform drone tests according to the drone test task, receive signal transmission data, compare it with the similar standard data, and determine whether the test is passed.

[0042] The replacement comparison processing module is used to perform replacement comparison and processing with the similar standard data when the test passes and the similar standard data is not the initial standard data.

[0043] As a further limitation of the technical solution of this embodiment of the invention, the similar data filtering module specifically includes:

[0044] Meteorological data acquisition unit, used to acquire current meteorological data;

[0045] The meteorological data extraction unit is used to extract multiple relevant meteorological data from multiple relevant standard data.

[0046] The similarity comparison calculation unit is used to perform a similarity comparison based on the current meteorological data and multiple related meteorological data, and to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data;

[0047] The comparison and selection unit is used to compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data.

[0048] The data selection unit is used to select similar standard data from multiple relevant standard data based on the similar meteorological data.

[0049] As a further limitation of the technical solution of this embodiment of the invention, the test comparison and judgment module specifically includes:

[0050] A control data generation unit is used to generate test control data according to the UAV test task;

[0051] The test control unit is used to perform UAV test control according to the test control data;

[0052] Feedback receiving unit, used to receive signal transmission data fed back by the UAV;

[0053] The test comparison unit is used to compare the signal transmission data with the similar standard data to determine whether the test passes.

[0054] Compared with the prior art, the beneficial effects of the present invention are:

[0055] (1) The present invention can screen relevant standard data according to the test model and test items, and then screen similar standard data through meteorological similarity comparison, and then conduct UAV testing and comparison to determine whether the test is passed. It can make the meteorological environment corresponding to the test comparison standard data similar to the current meteorological environment, thereby improving the accuracy of UAV testing.

[0056] (2) The present invention can obtain the historical comparison value of similar standard data when the signal transmission data test is passed and the data identity of similar standard data is not the initial standard data. When the test comparison value is less than the historical comparison value, the similar standard data is replaced in the standard test database by signal transmission data and current meteorological data, thereby realizing continuous optimization of the standard test database. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention.

[0058] Figure 1 A flowchart illustrating the signal transmission data analysis method for unmanned aerial vehicles (UAVs) provided in an embodiment of the present invention is shown.

[0059] Figure 2 The following is an application architecture diagram of the signal transmission data analysis system for unmanned aerial vehicles provided by an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0061] Understandably, current drone testing technologies typically evaluate and judge test results based on fixed test standard data. However, in actual testing, drone test results are often easily affected by different meteorological factors such as wind speed, temperature, humidity, air pressure, precipitation, and light intensity. Therefore, data judgment based on fixed standards is difficult to reflect the performance of drones in real complex environments, affecting the accuracy of drone testing.

[0062] To address the aforementioned issues, this invention receives and identifies UAV test tasks, determining the test model and test items. It then filters multiple relevant standard data from a standard test database; acquires current meteorological data and performs meteorological similarity comparison processing with these data to filter similar standard data; performs UAV testing according to the test task, receiving and transmitting signal data, and comparing it with the similar standard data to determine if the test passes; if the test passes and the similar standard data is not the initial standard data, it performs replacement comparison and processing with the similar standard data. This method allows for the filtering of relevant standard data according to the test model and test items, followed by meteorological similarity comparison to filter similar standard data, and then conducting UAV testing and comparison to determine if the test passes. This ensures that the meteorological environment corresponding to the compared standard data is similar to the current meteorological environment, improving the accuracy of UAV testing.

[0063] Figure 1 A flowchart illustrating the signal transmission data analysis method for unmanned aerial vehicles (UAVs) provided in an embodiment of the present invention is shown.

[0064] Specifically, in a preferred embodiment of the present invention, a method for analyzing signal transmission data of a UAV includes the following steps:

[0065] Step S101: Receive the UAV test task, identify the UAV test task, determine the test model and test items, and filter multiple relevant standard data from the standard test database.

[0066] In this embodiment of the invention, by receiving a drone test task and extracting test text information from the drone test task, and then identifying the test text information to determine the test model and test items of the drone test task, and then filtering multiple relevant standard data from the standard test database according to the test model and test items, the preliminary screening of standard data is achieved.

[0067] Specifically, in the preferred embodiment provided by the present invention, receiving the UAV test task, identifying the UAV test task, determining the test model and test items, and filtering multiple relevant standard data from the standard test database specifically includes the following steps:

[0068] Receive drone testing missions;

[0069] Extract test text information from the aforementioned drone test mission;

[0070] The test text information is identified to determine the test model and test items;

[0071] Based on the test model and the test item, multiple relevant standard data are selected from the standard test database.

[0072] Furthermore, the signal transmission data analysis method applied to UAVs also includes the following steps:

[0073] Step S102: Obtain current meteorological data, perform meteorological similarity comparison processing with multiple related standard data, and filter similar standard data.

[0074] In this embodiment of the invention, meteorological monitoring is performed to acquire current meteorological data such as wind speed, temperature, humidity, air pressure, precipitation, and light intensity. Multiple corresponding relevant meteorological data are extracted from multiple relevant standard data sets. A similarity comparison is performed between the current meteorological data and the multiple relevant meteorological data sets to calculate a meteorological similarity value. These multiple similarity values ​​are then compared, and the meteorological similarity value with the highest value is marked as the target similarity value. Next, the relevant meteorological data corresponding to the target similarity value is selected from the multiple relevant meteorological data sets and marked as similar meteorological data. Finally, the relevant standard data corresponding to the similar meteorological data is selected from the multiple relevant standard data sets and marked as similar standard data. Specifically, the formula for calculating the multiple meteorological similarity values ​​is as follows:

[0075] ;

[0076] in, Representing the Relevant standard data, For current meteorological data and the first Meteorological similarity values ​​of relevant standard data, Representing the There are 10 meteorological factors, totaling 100 meteorological factors. One meteorological factor, The first in the current meteorological data The value of each meteorological factor, For the first The first of the relevant standard data The value of each meteorological factor, This is a preset similarity calculation factor.

[0077] It is understood that in this embodiment of the invention, there are a total of 6 meteorological factors, specifically including wind speed, air temperature, humidity, air pressure, precipitation and light intensity.

[0078] Understandably, the smaller the meteorological similarity value, the more similar the current meteorological data is to the corresponding related meteorological data.

[0079] Specifically, in the preferred embodiment provided by the present invention, the step of acquiring current meteorological data, performing meteorological similarity comparison processing with multiple related standard data, and filtering similar standard data specifically includes the following steps:

[0080] Obtain current meteorological data;

[0081] Extract multiple relevant meteorological data from multiple relevant standard data sources;

[0082] Based on the current meteorological data and multiple related meteorological data, a similarity comparison is performed to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data;

[0083] Compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data;

[0084] Based on the aforementioned similar meteorological data, similar standard data are selected from multiple relevant standard data.

[0085] Furthermore, the signal transmission data analysis method applied to UAVs also includes the following steps:

[0086] Step S103: Perform drone testing according to the drone testing task, receive signal transmission data, and compare it with the similar standard data to determine whether the test is passed.

[0087] In this embodiment of the invention, test control data is generated according to the UAV test task. Then, UAV test control is performed according to the test control data, and signal transmission data fed back by the UAV is received. Similar transmission data is extracted from similar standard data, and the signal transmission data is compared with the similar transmission data to calculate a test comparison value. This test comparison value is then compared with a preset pass threshold to determine if the test comparison value is less than the pass threshold. If the test comparison value is less than the pass threshold, the test is considered passed; otherwise, the test is considered failed. Specifically, the formula for calculating the test comparison value is as follows:

[0088] ;

[0089] ;

[0090] in, To test the comparison value, Representing the There are [number] test locations, totaling [number] test locations. One test location, For the first data in signal transmission Images captured at each test location pixel values, For similar transmitted data, the first Images captured at each test location pixel values, and To capture the width and height of the image, For the first data in signal transmission Test distance at each test location, For similar transmitted data, the first Test distance at each test location, For the first data in signal transmission Arrival time at each test location, For similar transmitted data, the first Arrival time at each test location, , and These are the preset calculation weights.

[0091] Understandably, drone testing missions require monitoring and filming at multiple test locations, and the acquired signal transmission data includes images from multiple test locations, test distances, and arrival times.

[0092] Specifically, in the preferred embodiment provided by the present invention, the step of conducting UAV testing according to the UAV testing task, receiving signal transmission data, and comparing it with similar standard data to determine whether the test passes includes the following steps:

[0093] Generate test control data according to the described UAV test mission;

[0094] Perform UAV test control according to the aforementioned test control data;

[0095] Receive signal transmission data from the drone;

[0096] The signal transmission data is compared with the similar standard data to determine whether the test passes.

[0097] Specifically, in the preferred embodiment provided by the present invention, the step of testing and comparing the signal transmission data with the similar standard data to determine whether the test passes includes the following steps:

[0098] Extract similar transmission data from the aforementioned similar standard data;

[0099] Calculate the test comparison value based on the signal transmission data and the similar transmission data;

[0100] The test comparison value is compared with a preset pass threshold to determine whether the test comparison value is less than the pass threshold.

[0101] If the test comparison value is less than the passing threshold, the test is deemed to have passed;

[0102] If the test comparison value is not less than the passing threshold, the test is deemed to have failed.

[0103] Furthermore, the signal transmission data analysis method applied to UAVs also includes the following steps:

[0104] Step S104: If the test is passed and the similar standard data is not the initial standard data, replace and compare it with the similar standard data.

[0105] In this embodiment of the invention, by acquiring the data identity of similar standard data, when the test is passed and the data identity is not the initial standard data, the historical comparison value of the similar standard data is acquired, and then the test comparison value is compared with the historical comparison value to determine whether the test comparison value is less than the historical comparison value. If it is determined that the test comparison value is less than the historical comparison value, the similar standard data is replaced in the standard test database by signal transmission data and current meteorological data, thereby enabling continuous optimization of the standard test database during the UAV testing process.

[0106] It is understandable that the initial standard data refers to the initial, default standard data, not the data added during subsequent testing.

[0107] Specifically, in the preferred embodiment provided by the present invention, the step of conducting UAV testing according to the UAV testing task, receiving signal transmission data, and comparing it with similar standard data to determine whether the test passes includes the following steps:

[0108] Specifically, in the preferred embodiment provided by the present invention, the replacement comparison and processing with the similar standard data when the test is passed and the similar standard data is not the initial standard data specifically includes the following steps:

[0109] Obtain the data identity of the similar standard data;

[0110] If the test is passed and the data identity is not the initial standard data, obtain the historical comparison value of the similar standard data;

[0111] Determine whether the test comparison value is less than the historical comparison value;

[0112] If the test comparison value is less than the historical comparison value, then the similar standard data is replaced in the standard test database using the signal transmission data and the current meteorological data.

[0113] Furthermore, Figure 2The following is an application architecture diagram of the signal transmission data analysis system for unmanned aerial vehicles provided by an embodiment of the present invention.

[0114] In another preferred embodiment of the present invention, a signal transmission data analysis system for unmanned aerial vehicles includes:

[0115] The relevant data filtering module 101 is used to receive UAV test tasks, identify the UAV test tasks, determine the test model and test items, and filter multiple relevant standard data from the standard test database.

[0116] In this embodiment of the invention, the relevant data filtering module 101 receives a UAV test task, extracts test text information from the UAV test task, identifies the test text information, determines the test model and test items of the UAV test task, and then filters multiple relevant standard data from the standard test database according to the test model and test items to achieve preliminary filtering of standard data.

[0117] The similar data filtering module 102 is used to acquire current meteorological data, perform meteorological similarity comparison processing with multiple related standard data, and filter similar standard data.

[0118] In this embodiment of the invention, the similarity data filtering module 102 performs meteorological monitoring, acquires current meteorological data such as wind speed, temperature, humidity, air pressure, precipitation, and light intensity, and extracts multiple corresponding relevant meteorological data from multiple relevant standard data. It then compares the current meteorological data with these multiple relevant meteorological data, calculates the meteorological similarity value between the current meteorological data and the multiple relevant meteorological data, compares the multiple meteorological similarity values, and marks the meteorological similarity value with the largest value as the target similarity value. Next, it selects the relevant meteorological data corresponding to the target similarity value from the multiple relevant meteorological data and marks it as similar meteorological data. Finally, it selects the relevant standard data corresponding to the similar meteorological data from the multiple relevant standard data and marks it as similar standard data. Specifically, the calculation formula for multiple meteorological similarity values ​​is as follows:

[0119] ;

[0120] in, Representing the Relevant standard data, For current meteorological data and the first Meteorological similarity values ​​of relevant standard data, Representing the There are 10 meteorological factors, totaling 100 meteorological factors. One meteorological factor, The first in the current meteorological data The value of each meteorological factor, For the first The first of the relevant standard data The value of each meteorological factor, This is a preset similarity calculation factor.

[0121] Specifically, in the preferred embodiment provided by the present invention, the similar data filtering module 102 specifically includes:

[0122] Meteorological data acquisition unit, used to acquire current meteorological data;

[0123] The meteorological data extraction unit is used to extract multiple relevant meteorological data from multiple relevant standard data.

[0124] The similarity comparison calculation unit is used to perform a similarity comparison based on the current meteorological data and multiple related meteorological data, and to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data;

[0125] The comparison and selection unit is used to compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data.

[0126] The data selection unit is used to select similar standard data from multiple relevant standard data based on the similar meteorological data.

[0127] Furthermore, the signal transmission data analysis system applied to UAVs also includes:

[0128] The test comparison and judgment module 103 is used to perform drone tests according to the drone test task, receive signal transmission data, compare it with the similar standard data, and determine whether the test is passed.

[0129] In this embodiment of the invention, the test comparison and judgment module 103 generates test control data according to the UAV test task, performs UAV test control according to the test control data, receives signal transmission data fed back by the UAV, extracts similar transmission data from similar standard data, compares the signal transmission data with the similar transmission data, calculates a test comparison value, and compares the test comparison value with a preset pass threshold to determine whether the test comparison value is less than the pass threshold. If the test comparison value is less than the pass threshold, the test is deemed to have passed; otherwise, if the test comparison value is not less than the pass threshold, the test is deemed to have failed. Specifically, the formula for calculating the test comparison value is as follows:

[0130] ;

[0131] ;

[0132] in, To test the comparison value, Representing the There are [number] test locations, totaling [number] test locations. One test location, For the first data in signal transmission Images captured at each test location pixel values, For similar transmitted data, the first Images captured at each test location pixel values, and To capture the width and height of the image, For the first data in signal transmission Test distance at each test location, For similar transmitted data, the first Test distance at each test location, For the first data in signal transmission Arrival time at each test location, For similar transmitted data, the first Arrival time at each test location, , and These are the preset calculation weights.

[0133] Specifically, in the preferred embodiment provided by the present invention, the test comparison and judgment module 103 specifically includes:

[0134] A control data generation unit is used to generate test control data according to the UAV test task;

[0135] The test control unit is used to perform UAV test control according to the test control data;

[0136] Feedback receiving unit, used to receive signal transmission data fed back by the UAV;

[0137] The test comparison unit is used to compare the signal transmission data with the similar standard data to determine whether the test passes.

[0138] Furthermore, the signal transmission data analysis system applied to UAVs also includes:

[0139] The replacement comparison processing module 104 is used to perform replacement comparison and processing with the similar standard data when the test is passed and the similar standard data is not the initial standard data.

[0140] In this embodiment of the invention, the replacement comparison processing module 104 obtains the data identity of similar standard data. When the test is passed and the data identity is not the initial standard data, it obtains the historical comparison value of the similar standard data, and then compares the test comparison value with the historical comparison value to determine whether the test comparison value is less than the historical comparison value. If it is determined that the test comparison value is less than the historical comparison value, the similar standard data is replaced in the standard test database through signal transmission data and current meteorological data. This enables continuous optimization of the standard test database during the UAV testing process.

[0141] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for analyzing signal transmission data applied to unmanned aerial vehicles (UAVs), characterized in that, The method specifically includes the following steps: Receive drone test tasks, identify the drone test tasks, determine the test model and test items, and filter multiple relevant standard data from the standard test database; Acquire current meteorological data, perform meteorological similarity comparison processing with multiple relevant standard data, and filter similar standard data; According to the aforementioned UAV test mission, conduct UAV tests, receive signal transmission data, and compare the data with the aforementioned similar standard data to determine whether the test passes. If the test is passed and the similar standard data is not the initial standard data, it is replaced, compared and processed with the similar standard data; The process of conducting drone testing according to the drone testing task, receiving signal transmission data, and comparing it with similar standard data to determine whether the test passes includes the following steps: Generate test control data according to the described UAV test mission; Perform UAV test control according to the aforementioned test control data; Receive signal transmission data from the drone; The signal transmission data is compared with the similar standard data to determine whether the test passes. The step of comparing the transmitted signal data with similar standard data to determine whether the test passes includes the following steps: Extract similar transmission data from the aforementioned similar standard data; Calculate the test comparison value based on the signal transmission data and the similar transmission data; The test comparison value is compared with a preset pass threshold to determine whether the test comparison value is less than the pass threshold. If the test comparison value is less than the passing threshold, the test is deemed to have passed; If the test comparison value is not less than the passing threshold, the test is deemed to have failed. When the test passes and the similar standard data is not the initial standard data, the replacement comparison and processing with the similar standard data specifically includes the following steps: Obtain the data identity of the similar standard data; If the test is passed and the data identity is not the initial standard data, obtain the historical comparison value of the similar standard data; Determine whether the test comparison value is less than the historical comparison value; If the test comparison value is less than the historical comparison value, then the similar standard data is replaced in the standard test database using the signal transmission data and the current meteorological data.

2. The signal transmission data analysis method for unmanned aerial vehicles according to claim 1, characterized in that, The process of receiving and identifying drone test tasks, determining the test model and test items, and filtering multiple relevant standard data from the standard test database specifically includes the following steps: Receive drone testing missions; Extract test text information from the aforementioned drone test mission; The test text information is identified to determine the test model and test items; Based on the test model and the test item, multiple relevant standard data are selected from the standard test database.

3. The signal transmission data analysis method for unmanned aerial vehicles according to claim 1, characterized in that, The process of acquiring current meteorological data and performing meteorological similarity comparison processing with multiple relevant standard data to filter similar standard data specifically includes the following steps: Obtain current meteorological data; Extract multiple relevant meteorological data from multiple relevant standard data sources; Based on the current meteorological data and multiple related meteorological data, a similarity comparison is performed to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data; Compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data; Based on the aforementioned similar meteorological data, similar standard data are selected from multiple relevant standard data.

4. A signal transmission data analysis system for UAVs, used for executing the signal transmission data analysis method for UAVs as described in any one of claims 1-3, characterized in that, The system specifically includes a relevant data filtering module, a similar data filtering module, a test comparison and judgment module, and a replacement comparison processing module, wherein: The relevant data filtering module is used to receive UAV test tasks, identify the UAV test tasks, determine the test model and test items, and filter multiple relevant standard data from the standard test database. The similar data filtering module is used to acquire current meteorological data, perform meteorological similarity comparison processing with multiple related standard data, and filter similar standard data; The test comparison and judgment module is used to perform drone tests according to the drone test task, receive signal transmission data, compare it with the similar standard data, and determine whether the test is passed. The replacement comparison processing module is used to perform replacement comparison and processing with the similar standard data when the test passes and the similar standard data is not the initial standard data.

5. The signal transmission data analysis system for unmanned aerial vehicles according to claim 4, characterized in that, The similar data filtering module specifically includes: Meteorological data acquisition unit, used to acquire current meteorological data; The meteorological data extraction unit is used to extract multiple relevant meteorological data from multiple relevant standard data. The similarity comparison calculation unit is used to perform a similarity comparison based on the current meteorological data and multiple related meteorological data, and to calculate the meteorological similarity value between the current meteorological data and the multiple related meteorological data; The comparison and selection unit is used to compare multiple meteorological similarity values ​​and select similar meteorological data from multiple related meteorological data. The data selection unit is used to select similar standard data from multiple relevant standard data based on the similar meteorological data.

6. The signal transmission data analysis system for unmanned aerial vehicles according to claim 4, characterized in that, The test comparison and judgment module specifically includes: A control data generation unit is used to generate test control data according to the UAV test task; The test control unit is used to perform UAV test control according to the test control data; Feedback receiving unit, used to receive signal transmission data fed back by the UAV; The test comparison unit is used to compare the signal transmission data with the similar standard data to determine whether the test passes.

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